Prediction of External Stability for Geogrid-Reinforced Segmental Walls

Abstract:

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Prediction of external stability for segmental retaining walls reinforced with geogrid and backfilled with residual soil was carried out using statistical methods and artificial neural networks (ANN). Prediction was based on data obtained from 234 segmental retaining wall designs using procedures developed by the National Concrete Masonry Association (NCMA). The study showed that prediction made using ANN was generally more accurate to the target compared with statistical methods using mathematical models of linear, pure quadratic, full quadratic and interactions.

Info:

Periodical:

Key Engineering Materials (Volumes 462-463)

Edited by:

Ahmad Kamal Ariffin, Shahrum Abdullah, Aidy Ali, Andanastuti Muchtar, Mariyam Jameelah Ghazali and Zainuddin Sajuri

Pages:

1319-1324

DOI:

10.4028/www.scientific.net/KEM.462-463.1319

Citation:

A. Kasa et al., "Prediction of External Stability for Geogrid-Reinforced Segmental Walls", Key Engineering Materials, Vols. 462-463, pp. 1319-1324, 2011

Online since:

January 2011

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Price:

$35.00

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